The ultimate guide to data analytics interviews using Pandas. Strengthen your skills with advanced concepts and practice with real-world interview questions. Developed by FAANG engineers.

In this course, you will face a number of challenges across different concepts, all with the data analytics library Pandas.

This course is mainly to refresh your knowledge, as well as help you understand more advanced concepts. By solving multiple challenges, you will surely strengthen your skills and it will help you ace your interview involving Pandas.

You will cover many topics such as: grouping, filtering, date manipulation, and more. By the time you finish this course, you will have the confidence you need to land your dream job.

Data Analytics Interview Prep Using Pandas

# Concept

So far you've been mainly using filters and basic manipulation through groups or dates. You've also covered basic aggregation concepts, such as getting the count of records, or the mean of a certain column.

Sometimes, you may need to apply more complex functions to each record, cell, or column. 

## Syntax

Assuming you have a certain function `my_magic_fn` to be applied to every value of a specific column, you can do the following:

```python
df['my_col'].map(lambda x: my_magic_fn(x))
```

This applies your magic function to every value in `my_col` column.

This section introduces the concept of applying functions to a Pandas DataFrame using apply/map.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Introduction to Using Apply/Map in Pandas

Concept

Syntax